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last update 2017.07.26


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INDEX


1. What's EasyEstimation ?

2. Download

3. Comparison

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3. Comparison with another software

3.1. 2-parameter logistic model
3.2. 3-parameter logistic model
3.3. 1-parameter logistic model
3.4. Graded response model
3.5. Nominal response model

3.1. 2-parameter logistic model

Data

"Sampledata.dat" ( attached in EasyEstimation.zip)
Number of items is 20.
Number of subjects is 1000.

Software

EasyEstimation Ver.1.4.3.
BILOG-MG ">CALIB NQPT=31,CYCLES=20,NEWTON=20,NOSPRIOR;"
R ltm package

Result

EasyEstimation BILOG-MG R
item slope location slope location slope location
item0010.618-0.364 0.616 -0.365 0.619 -0.364
item0020.746-1.293 0.745 -1.297 0.745 -1.294
item0031.082 0.260 1.080 0.262 1.083 0.260
item0041.206 1.223 1.204 1.227 1.206 1.222
item0050.988 1.163 0.986 1.167 0.988 1.162
item0060.750 1.891 0.748 1.899 0.749 1.893
item0070.613-2.151 0.611 -2.158 0.612 -2.154
item0080.657-0.308 0.655 -0.308 0.657 -0.308
item0090.810 1.205 0.808 1.210 0.808 1.206
item0101.105-1.088 1.103 -1.091 1.107 -1.088
item0111.279-0.735 1.277 -0.737 1.282 -0.735
item0121.272-1.624 1.269 -1.629 1.270 -1.625
item0131.018-1.680 1.015 -1.686 1.018 -1.680
item0140.692-0.909 0.691 -0.911 0.692 -0.909
item0150.454-0.827 0.453 -0.829 0.454 -0.827
item0160.618-2.610 0.617 -2.620 0.618 -2.613
item0170.931-0.599 0.929 -0.600 0.932 -0.599
item0181.251-0.395 1.249 -0.396 1.247 -0.396
item0190.904 0.188 0.902 0.189 0.904 0.188
item0201.107-0.269 1.105 -0.269 1.109 -0.269

* In R results, "slope" values were divided by "1.702".

3.2. 3-parameter logistic model

Data

It is same as above 3.1.

Software

It is same as above 3.1.

Result

EasyEstimation BILOG-MG R
item slope location asymptote slope location asymptote slope location asymptote
item001 0.736-0.039 0.137 0.735 -0.036 0.137 0.619 -0.362 0.000
item002 0.817-0.999 0.165 0.815 -1.000 0.165 0.744 -1.293 0.000
item003 1.236 0.351 0.051 1.235 0.354 0.051 1.083 0.263 0.000
item004 1.428 1.214 0.021 1.430 1.217 0.021 1.258 1.212 0.003
item005 1.192 1.168 0.030 1.194 1.171 0.030 1.055 1.152 0.007
item006 1.101 1.755 0.039 1.105 1.757 0.039 0.880 1.818 0.015
item007 0.654-1.783 0.200 0.652 -1.789 0.200 0.690 -1.576 0.287
item008 0.836 0.050 0.155 0.836 0.054 0.156 0.771 -0.069 0.104
item009 1.041 1.222 0.046 1.043 1.226 0.046 0.811 1.204 0.000
item010 1.204-0.914 0.127 1.199 -0.915 0.127 1.106 -1.086 0.000
item011 1.443-0.577 0.107 1.439 -0.576 0.108 1.280 -0.731 0.000
item012 1.346-1.481 0.150 1.337 -1.487 0.149 1.263 -1.630 0.000
item013 1.076-1.483 0.169 1.071 -1.487 0.169 1.009 -1.688 0.000
item014 0.750-0.659 0.128 0.748 -0.659 0.128 0.692 -0.908 0.000
item015 0.547-0.265 0.190 0.547 -0.262 0.190 0.454 -0.819 0.003
item016 0.658-2.237 0.209 0.655 -2.246 0.209 0.886 -1.127 0.608
item017 1.007-0.438 0.095 1.003 -0.438 0.094 0.930 -0.596 0.000
item018 1.346-0.297 0.062 1.342 -0.295 0.062 1.248 -0.391 0.000
item019 1.092 0.339 0.079 1.092 0.343 0.080 0.944 0.221 0.017
item020 1.173-0.175 0.056 1.170 -0.173 0.056 1.106 -0.265 0.000

* In R results, "slope" values were divided by "1.702".
** In R, "Warning message: In tpm(data): Hessian matrix at convergence is not positive definite; unstable solution." was displayed.

3.3. 1-parameter logistic model

Data

It is same as above 3.1.

Software

It is same as above 3.1.

Result

EasyEstimation BILOG-MG R
ڔԍ slope location slope location slope location
item0010.857-0.299 0.858 -0.298 0.858 -0.301
item0020.857-1.194 0.858 -1.194 0.858 -1.195
item0030.857 0.287 0.858 0.288 0.858 0.285
item0040.857 1.444 0.858 1.446 0.858 1.440
item0050.857 1.253 0.858 1.256 0.858 1.250
item0060.857 1.748 0.858 1.752 0.858 1.745
item0070.857-1.736 0.858 -1.737 0.858 -1.736
item0080.857-0.264 0.858 -0.262 0.858 -0.265
item0090.857 1.168 0.858 1.170 0.858 1.165
item0100.857-1.237 0.858 -1.237 0.858 -1.238
item0110.857-0.889 0.858 -0.888 0.858 -0.890
item0120.857-1.957 0.858 -1.958 0.858 -1.957
item0130.857-1.838 0.858 -1.839 0.858 -1.838
item0140.857-0.803 0.858 -0.802 0.858 -0.804
item0150.857-0.539 0.858 -0.538 0.858 -0.540
item0160.857-2.110 0.858 -2.111 0.858 -2.110
item0170.857-0.630 0.858 -0.629 0.858 -0.631
item0180.857-0.478 0.858 -0.477 0.858 -0.479
item0190.857 0.190 0.858 0.192 0.858 0.188
item0200.857-0.311 0.858 -0.310 0.858 -0.312

* In R results, "slope" values were divided by "1.702".


3.4. Graded response model

Data

"SampleData.dat" ( attached in EasyEstGRM.zip)
Number of items is 10.
Number of subjects is 1000.

Software

EasyEstGRM Ver.0.3.6.
PARSCALE ">CALIB GRA,LOGISTIC,SCALE=1.7,CYCLES=(200,1,1,1,1,1);"
R ltm package

Result

EasyEstGRM
item slope step1 step2 step3 step4
item0010.660-4.144 -2.737 -1.468 -0.067
item0020.958-2.305 -1.557 -0.832 0.136
item0031.395-1.938 -1.114 -0.422 0.327
item0041.487-1.460 -0.755 -0.065 0.774
item0051.852-1.039 -0.341 0.339 1.035
item0060.830-1.178 -0.163 0.751 1.756
item0071.192-0.419 0.424 1.125 1.942
item0081.423 0.005 0.793 1.528 2.186
item0091.495 0.368 1.385 2.043 2.710
item0101.611 0.748 1.570 2.547 3.252

PARSCALE
item slope step1 step2 step3 step4
item0010.662 -4.151 -2.745 -1.477 -0.078
item0020.960 -2.314 -1.567 -0.843 0.124
item0031.398 -1.948 -1.124 -0.432 0.316
item0041.491 -1.470 -0.765 -0.075 0.762
item0051.860 -1.049 -0.351 0.327 1.021
item0060.832 -1.188 -0.173 0.739 1.743
item0071.195 -0.429 0.413 1.113 1.928
item0081.428 -0.006 0.780 1.514 2.171
item0091.500 0.357 1.371 2.029 2.695
item0101.617 0.736 1.556 2.532 3.236

R
item slope step1 step2 step3 step4
item0010.659 -4.109 -2.697 -1.423 -0.016
item0020.951 -2.272 -1.518 -0.787 0.189
item0031.388 -1.901 -1.070 -0.372 0.383
item0041.483 -1.420 -0.708 -0.011 0.830
item0051.810 -1.000 -0.289 0.397 1.096
item0060.824 -1.136 -0.112 0.808 1.818
item0071.181 -0.370 0.479 1.184 2.004
item0081.401 0.058 0.852 1.590 2.252
item0091.488 0.424 1.440 2.097 2.767
item0101.616 0.803 1.621 2.594 3.298

* In R results, "slope" values were divided by "1.702".


3.5. Nominal response model

Data

"Sampledata.dat" ( attached in EasyNominal.zip)
Number of items is 10.
Number of subjects is 5000.

Software

EasyNominal Ver.0.3.5.
MULTILOG ">TGROUPS NUMBER=31,
QP = same as "NDIST.dat"(attached in EasyNominal.zip). "

Result

EasyNominal
item parameter category1 category2 category3 category4 category5
item001A 0.12 1.14 -0.49 -0.32 -0.45
C-0.91 1.99 -1.07 -1.10 1.09
item002A 0.27-0.31 1.05 -0.54 -0.47
C 0.30 0.54 0.83 -0.11 -1.56
item003A 0.20 0.66 -0.55 -0.31
C 0.22 0.48 -0.90 0.20
item004A-1.35 1.18 0.35 -1.63 1.45
C-2.27 1.92 -0.01 -1.51 1.87
item005A-0.55-0.19 0.20 0.54
C-0.02 0.71 0.81 -1.51
item006A-0.42 0.97 0.27 -0.82 0.00
C 0.09 0.75 0.42 -0.81 -0.46
item007A-0.75 0.09 -0.10 1.08 -0.33
C-1.39 0.61 -0.50 1.48 -0.20
item008A 0.64-0.75 -0.48 0.76 -0.18
C-1.74-1.33 0.07 2.27 0.72
item009A 0.20 0.72 -1.02 0.10
C 0.25 0.62 -0.66 -0.21
item010A-0.62-0.16 -0.31 0.69 0.41
C-0.21-0.29 0.21 -1.18 1.46

MULTILOG
item parameter category1 category2 category3 category4 category5
item001A 0.12 1.14 -0.49 -0.32 -0.45
C-0.91 1.99 -1.07 -1.10 1.09
item002A 0.27-0.31 1.05 -0.54 -0.47
C 0.30 0.54 0.83 -0.11 -1.56
item003A 0.20 0.66 -0.55 -0.31
C 0.22 0.48 -0.90 0.20
item004A-1.36 1.20 0.36 -1.67 1.47
C-2.28 1.94 0.00 -1.55 1.89
item005A-0.55-0.19 0.20 0.54
C-0.02 0.71 0.81 -1.51
item006A-0.42 0.97 0.27 -0.82 0.00
C 0.09 0.75 0.42 -0.81 -0.46
item007A-0.75 0.09 -0.10 1.08 -0.33
C-1.39 0.61 -0.50 1.48 -0.20
item008A 0.64-0.75 -0.48 0.76 -0.18
C-1.74-1.33 0.07 2.27 0.72
item009A 0.20 0.72 -1.02 0.10
C 0.25 0.62 -0.66 -0.21
item010A-0.62-0.16 -0.31 0.69 0.41
C-0.21-0.29 0.21 -1.18 1.46